Evidence map›Paper›PMID 30841849›Full record

ArticleBMC genomics2019

mGAP: the macaque genotype and phenotype resource, a framework for accessing and interpreting macaque variant data, and identifying new models of human disease.

Benjamin N Bimber, Melissa Y Yan, Samuel M Peterson, Betsy Ferguson

Abstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

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  13. Estimating realized relatedness in free-ranging macaques by inferring identity-by-descent segments.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Benjamin N BimberDivision of Genetics, Oregon National Primate Research Center, Oregon Health and Sciences University, Beaverton, OR, 97006, USA.
Melissa Y YanDivision of Genetics, Oregon National Primate Research Center, Oregon Health and Sciences University, Beaverton, OR, 97006, USA.
Samuel M PetersonDivision of Genetics, Oregon National Primate Research Center, Oregon Health and Sciences University, Beaverton, OR, 97006, USA.
Betsy FergusonDivision of Genetics, Oregon National Primate Research Center, Oregon Health and Sciences University, Beaverton, OR, 97006, USA. fergusob@ohsu.edu.

Funding

Upgrade of confocal microscopy at the Oregon National Primate Research CenterP51OD011092 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI Bonnie J. Nagel · 2012 to 2026
$203.9M
Genomic Sequencing to Establish a Macaque Genotype and Phenotype Research ResourceR24OD021324 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI BIMBER, BENJAMIN, WALL, JEFFREY D · 2016 to 2023
$7.7M
National Institutes of Health P51OD011092National Institutes of Health R24OD021324NIH HHS P51 OD011092NIH HHS R24 OD021324
6 · The paper itself

Abstract

backgroundNon-human primates (NHPs), particularly macaques, serve as critical and highly relevant pre-clinical models of human disease. The similarity in human and macaque natural disease susceptibility, along with parallel genetic risk alleles, underscores the value of macaques in the development of effective treatment strategies. Nonetheless, there are limited genomic resources available to support the exploration and discovery of macaque models of inherited disease. Notably, there are few public databases tailored to searching NHP sequence variants, and no other database making use of centralized variant calling, or providing genotype-level data and predicted pathogenic effects for each variant.

resultsThe macaque Genotype And Phenotype (mGAP) resource is the first public website providing searchable, annotated macaque variant data. The mGAP resource includes a catalog of high confidence variants, derived from whole genome sequence (WGS). The current mGAP release at time of publication (1.7) contains 17,087,212 variants based on the sequence analysis of 293 rhesus macaques. A custom pipeline was developed to enable annotation of the macaque variants, leveraging human data sources that include regulatory elements (ENCODE, RegulomeDB), known disease- or phenotype-associated variants (GRASP), predicted impact (SIFT, PolyPhen2), and sequence conservation (Phylop, PhastCons). Currently mGAP includes 2767 variants that are identical to alleles listed in the human ClinVar database, of which 276 variants, spanning 258 genes, are identified as pathogenic. An additional 12,472 variants are predicted as high impact (SnpEff) and 13,129 are predicted as damaging (PolyPhen2). In total, these variants are predicted to be associated with more than 2000 human disease or phenotype entries reported in OMIM (Online Mendelian Inheritance in Man). Importantly, mGAP also provides genotype-level data for all subjects, allowing identification of specific individuals harboring alleles of interest.

conclusionsThe mGAP resource provides variant and genotype data from hundreds of rhesus macaques, processed in a consistent manner across all subjects ( https://mgap.ohsu.edu ). Together with the extensive variant annotations, mGAP presents unprecedented opportunity to investigate potential genetic associations with currently characterized disease models, and to uncover new macaque models based on parallels with human risk alleles.

Indexed as

Genetic VariationGenotypePhenotypeAnimalsComputational BiologyDisease Models, AnimalHumansInformation Storage and RetrievalInternetMacaca mulattaAnimal modelDatabaseGenomeIndian-originMacaca mulattaNonhuman primateRhesusSNP

Identifiers

PMID30841849
PMCPMC6402181

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.